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Pattern recognition of native plant communities: Manitou Colorado test siteOptimum channel selection among 12 channels of multispectral scanner imagery identified six as providing the best information about 11 vegetation classes and two nonvegetation classes at the Manitou Experimental Forest. Intensive preprocessing of the scanner signals was required to eliminate a serious scan angle effect. Final processing of the normalized data provided acceptable recognition results of generalized plant community types. Serious errors occurred with attempts to classify specific community types within upland grassland areas. The consideration of the convex mixtures concept (effects of amounts of live plant cover, exposed soil, and plant litter cover on apparent scene radiances) significantly improved the classification of some of the grassland classes.
Document ID
19720021765
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Driscoll, R. S. (Rocky Mountain Forest and Range Experiment Station Fort Collins, CO, United States)
Date Acquired
August 6, 2013
Publication Date
January 21, 1972
Publication Information
Publication: NASA. Manned Spacecraft Center 4th Ann. Earth Resources Program Review, Vol. 5
Subject Category
Computers
Accession Number
72N29415
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19720021757Collected WorksFourth Annual Earth Resources Program Review. Volume 5: Agriculture and forestry programs
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